pm-orchestrator

Coordinate multi-agent tasks, context transfer, and iterative cycles across development phases.

Updated Jan 14, 2026
One-click install
npx skills add https://github.com/Denissvgn/project-team-ag --skill pm-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-orchestrator
Source: https://github.com/Denissvgn/project-team-ag/tree/main/.agent/skills/pm-orchestrator
Command: npx skills add https://github.com/Denissvgn/project-team-ag --skill pm-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides centralized orchestration for a team of AI agents, handling task distribution, context propagation, and iteration governance to ensure predictable, coordinated development.

Core Features & Use Cases

  • Task Distribution: Assign tasks to agents based on expertise to maximize throughput.
  • Context Propagation: Pass outputs between agents to maintain continuity across iterations.
  • Iteration Control: Manage Planning, Development, and Verification cycles with quality gates.
  • Schedule Management: Update Gantt timelines via MCP tools.
  • Governance: Enforce readiness checks and decision loops before progressing.

Quick Start

Start a new project with /workflow initialization, then begin planning with /workflow planning-iteration and assign tasks with /workflow assign-task.

Frequently Asked Questions about pm-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent workflows for cross-functional development?

Multi-agent orchestration automates task distribution, context propagation, and iteration cycles across planning, development, and verification phases. It coordinates multiple agents while enforcing centralized task distribution and quality gates for predictable, coordinated development.

Can I manage Gantt-style timelines using MCP tools for project scheduling?

Yes, you can manage Gantt-style timelines via MCP tools for schedule management. The orchestration workflow integrates with MCP tools to update Gantt timelines, ensuring synchronized scheduling across multi-agent development iterations.

What is context propagation in multi-agent project orchestration?

Context propagation in multi-agent orchestration passes outputs between agents to maintain continuity across iterations. It ensures that development context transfers automatically, preventing information loss when tasks shift across different specialized agents.

How do I start a planning iteration and assign tasks to AI agents?

Start multi-agent planning by initializing the workflow, then begin a planning iteration and assign tasks to agents based on expertise. Task assignment maximizes throughput by matching agent capabilities to specific development requirements.

How do quality gates work in multi-agent development cycles?

Quality gates in multi-agent development cycles enforce readiness checks and decision loops before progressing. They govern transitions between planning, development, and verification phases, ensuring iteration control maintains coordinated development standards.

Do I need specific dependencies to run multi-agent orchestration workflows?

No specific dependencies are required to run multi-agent orchestration workflows. The system operates independently to coordinate task distribution, context transfer, and iterative cycles without external component installations.